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        <a href="cornetto-module.html">Package&nbsp;cornetto</a> ::
        Module&nbsp;simserver
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<h1 class="epydoc">Source Code for <a href="cornetto.simserver-module.html">Module cornetto.simserver</a></h1>
<pre class="py-src">
<a name="L1"></a><tt class="py-lineno">  1</tt>  <tt class="py-line"><tt class="py-comment"># -*- coding: utf-8 -*-</tt> </tt>
<a name="L2"></a><tt class="py-lineno">  2</tt>  <tt class="py-line"> </tt>
<a name="L3"></a><tt class="py-lineno">  3</tt>  <tt class="py-line"><tt class="py-comment"># Copyright (C) 2008-2010 by </tt> </tt>
<a name="L4"></a><tt class="py-lineno">  4</tt>  <tt class="py-line"><tt class="py-comment"># Erwin Marsi and Tilburg University</tt> </tt>
<a name="L5"></a><tt class="py-lineno">  5</tt>  <tt class="py-line"> </tt>
<a name="L6"></a><tt class="py-lineno">  6</tt>  <tt class="py-line"> </tt>
<a name="L7"></a><tt class="py-lineno">  7</tt>  <tt class="py-line"><tt class="py-comment"># This file is part of the Pycornetto package.</tt> </tt>
<a name="L8"></a><tt class="py-lineno">  8</tt>  <tt class="py-line"> </tt>
<a name="L9"></a><tt class="py-lineno">  9</tt>  <tt class="py-line"><tt class="py-comment"># Pycornetto is free software; you can redistribute it and/or modify</tt> </tt>
<a name="L10"></a><tt class="py-lineno"> 10</tt>  <tt class="py-line"><tt class="py-comment"># it under the terms of the GNU General Public License as published by</tt> </tt>
<a name="L11"></a><tt class="py-lineno"> 11</tt>  <tt class="py-line"><tt class="py-comment"># the Free Software Foundation; either version 3 of the License, or</tt> </tt>
<a name="L12"></a><tt class="py-lineno"> 12</tt>  <tt class="py-line"><tt class="py-comment"># (at your option) any later version.</tt> </tt>
<a name="L13"></a><tt class="py-lineno"> 13</tt>  <tt class="py-line"> </tt>
<a name="L14"></a><tt class="py-lineno"> 14</tt>  <tt class="py-line"><tt class="py-comment"># Pycornetto is distributed in the hope that it will be useful,</tt> </tt>
<a name="L15"></a><tt class="py-lineno"> 15</tt>  <tt class="py-line"><tt class="py-comment"># but WITHOUT ANY WARRANTY; without even the implied warranty of</tt> </tt>
<a name="L16"></a><tt class="py-lineno"> 16</tt>  <tt class="py-line"><tt class="py-comment"># MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</tt> </tt>
<a name="L17"></a><tt class="py-lineno"> 17</tt>  <tt class="py-line"><tt class="py-comment"># GNU General Public License for more details.</tt> </tt>
<a name="L18"></a><tt class="py-lineno"> 18</tt>  <tt class="py-line"> </tt>
<a name="L19"></a><tt class="py-lineno"> 19</tt>  <tt class="py-line"><tt class="py-comment"># You should have received a copy of the GNU General Public License</tt> </tt>
<a name="L20"></a><tt class="py-lineno"> 20</tt>  <tt class="py-line"><tt class="py-comment"># along with this program.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</tt> </tt>
<a name="L21"></a><tt class="py-lineno"> 21</tt>  <tt class="py-line"> </tt>
<a name="L22"></a><tt class="py-lineno"> 22</tt>  <tt class="py-line"><tt class="py-docstring">"""</tt> </tt>
<a name="L23"></a><tt class="py-lineno"> 23</tt>  <tt class="py-line"><tt class="py-docstring">socket server exposing Cornetto database extended with word similarity measures</tt> </tt>
<a name="L24"></a><tt class="py-lineno"> 24</tt>  <tt class="py-line"><tt class="py-docstring">through XML-RPC</tt> </tt>
<a name="L25"></a><tt class="py-lineno"> 25</tt>  <tt class="py-line"><tt class="py-docstring">"""</tt> </tt>
<a name="L26"></a><tt class="py-lineno"> 26</tt>  <tt class="py-line"> </tt>
<a name="L27"></a><tt class="py-lineno"> 27</tt>  <tt class="py-line"><tt class="py-name">__author__</tt> <tt class="py-op">=</tt> <tt class="py-string">'Erwin Marsi &lt;e.c.marsi@uvt.nl&gt;'</tt> </tt>
<a name="L28"></a><tt class="py-lineno"> 28</tt>  <tt class="py-line"><tt id="link-0" class="py-name" targets="Variable cornetto.cornet.__revision__=cornetto.cornet-module.html#__revision__,Variable cornetto.parse.__revision__=cornetto.parse-module.html#__revision__,Variable cornetto.server.__revision__=cornetto.server-module.html#__revision__,Variable cornetto.simcornet.__revision__=cornetto.simcornet-module.html#__revision__,Variable cornetto.simserver.__revision__=cornetto.simserver-module.html#__revision__"><a title="cornetto.cornet.__revision__
cornetto.parse.__revision__
cornetto.server.__revision__
cornetto.simcornet.__revision__
cornetto.simserver.__revision__" class="py-name" href="#" onclick="return doclink('link-0', '__revision__', 'link-0');">__revision__</a></tt> <tt class="py-op">=</tt> <tt class="py-string">'$Id: simserver.py 1148 2009-11-16 12:00:20Z emarsi $'</tt> </tt>
<a name="L29"></a><tt class="py-lineno"> 29</tt>  <tt class="py-line"><tt class="py-name">__version__</tt> <tt class="py-op">=</tt> <tt class="py-string">'0.6'</tt> </tt>
<a name="L30"></a><tt class="py-lineno"> 30</tt>  <tt class="py-line"> </tt>
<a name="L31"></a><tt class="py-lineno"> 31</tt>  <tt class="py-line"><tt class="py-keyword">from</tt> <tt id="link-1" class="py-name" targets="Module cornetto.simcornet=cornetto.simcornet-module.html"><a title="cornetto.simcornet" class="py-name" href="#" onclick="return doclink('link-1', 'simcornet', 'link-1');">simcornet</a></tt> <tt class="py-keyword">import</tt> <tt id="link-2" class="py-name" targets="Class cornetto.simcornet.SimCornet=cornetto.simcornet.SimCornet-class.html"><a title="cornetto.simcornet.SimCornet" class="py-name" href="#" onclick="return doclink('link-2', 'SimCornet', 'link-2');">SimCornet</a></tt> </tt>
<a name="L32"></a><tt class="py-lineno"> 32</tt>  <tt class="py-line"><tt class="py-keyword">from</tt> <tt id="link-3" class="py-name" targets="Package cornetto=cornetto-module.html"><a title="cornetto" class="py-name" href="#" onclick="return doclink('link-3', 'cornetto', 'link-3');">cornetto</a></tt><tt class="py-op">.</tt><tt id="link-4" class="py-name" targets="Module cornetto.server=cornetto.server-module.html"><a title="cornetto.server" class="py-name" href="#" onclick="return doclink('link-4', 'server', 'link-4');">server</a></tt> <tt class="py-keyword">import</tt> <tt id="link-5" class="py-name" targets="Class cornetto.server.CornetProxy=cornetto.server.CornetProxy-class.html"><a title="cornetto.server.CornetProxy" class="py-name" href="#" onclick="return doclink('link-5', 'CornetProxy', 'link-5');">CornetProxy</a></tt> </tt>
<a name="L33"></a><tt class="py-lineno"> 33</tt>  <tt class="py-line"> </tt>
<a name="L34"></a><tt class="py-lineno"> 34</tt>  <tt class="py-line"> </tt>
<a name="SimCornetProxy"></a><div id="SimCornetProxy-def"><a name="L35"></a><tt class="py-lineno"> 35</tt> <a class="py-toggle" href="#" id="SimCornetProxy-toggle" onclick="return toggle('SimCornetProxy');">-</a><tt class="py-line"><tt class="py-keyword">class</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html">SimCornetProxy</a><tt class="py-op">(</tt><tt class="py-base-class">CornetProxy</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy-collapsed" style="display:none;" pad="+++" indent="++++"></div><div id="SimCornetProxy-expanded"><a name="L36"></a><tt class="py-lineno"> 36</tt>  <tt class="py-line">    <tt class="py-docstring">"""</tt> </tt>
<a name="L37"></a><tt class="py-lineno"> 37</tt>  <tt class="py-line"><tt class="py-docstring">    A proxy to the SimCornet class which exposes the similary functions </tt> </tt>
<a name="L38"></a><tt class="py-lineno"> 38</tt>  <tt class="py-line"><tt class="py-docstring">    through XML-RPC. See CornetProxy</tt> </tt>
<a name="L39"></a><tt class="py-lineno"> 39</tt>  <tt class="py-line"><tt class="py-docstring">    """</tt> </tt>
<a name="L40"></a><tt class="py-lineno"> 40</tt>  <tt class="py-line">     </tt>
<a name="SimCornetProxy.__init__"></a><div id="SimCornetProxy.__init__-def"><a name="L41"></a><tt class="py-lineno"> 41</tt> <a class="py-toggle" href="#" id="SimCornetProxy.__init__-toggle" onclick="return toggle('SimCornetProxy.__init__');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#__init__">__init__</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">cdb_lu</tt><tt class="py-op">,</tt> <tt class="py-param">cdb_sy</tt><tt class="py-op">,</tt> <tt class="py-param">verbose</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">max_depth</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">,</tt> </tt>
<a name="L42"></a><tt class="py-lineno"> 42</tt>  <tt class="py-line">                 <tt class="py-param">cornet_class</tt><tt class="py-op">=</tt><tt id="link-6" class="py-name"><a title="cornetto.simcornet.SimCornet" class="py-name" href="#" onclick="return doclink('link-6', 'SimCornet', 'link-2');">SimCornet</a></tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.__init__-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.__init__-expanded"><a name="L43"></a><tt class="py-lineno"> 43</tt>  <tt class="py-line">        <tt id="link-7" class="py-name"><a title="cornetto.server.CornetProxy" class="py-name" href="#" onclick="return doclink('link-7', 'CornetProxy', 'link-5');">CornetProxy</a></tt><tt class="py-op">.</tt><tt id="link-8" class="py-name" targets="Method cornetto.cornet.Cornet.__init__()=cornetto.cornet.Cornet-class.html#__init__,Method cornetto.server.CornetProxy.__init__()=cornetto.server.CornetProxy-class.html#__init__,Method cornetto.simserver.SimCornetProxy.__init__()=cornetto.simserver.SimCornetProxy-class.html#__init__"><a title="cornetto.cornet.Cornet.__init__
cornetto.server.CornetProxy.__init__
cornetto.simserver.SimCornetProxy.__init__" class="py-name" href="#" onclick="return doclink('link-8', '__init__', 'link-8');">__init__</a></tt><tt class="py-op">(</tt><tt class="py-name">self</tt><tt class="py-op">,</tt> <tt class="py-name">cdb_lu</tt><tt class="py-op">,</tt> <tt class="py-name">cdb_sy</tt><tt class="py-op">,</tt> <tt class="py-name">verbose</tt><tt class="py-op">=</tt><tt class="py-name">verbose</tt><tt class="py-op">,</tt> </tt>
<a name="L44"></a><tt class="py-lineno"> 44</tt>  <tt class="py-line">                             <tt class="py-name">max_depth</tt><tt class="py-op">=</tt><tt class="py-name">max_depth</tt><tt class="py-op">,</tt> <tt class="py-name">cornet_class</tt><tt class="py-op">=</tt><tt class="py-name">cornet_class</tt><tt class="py-op">)</tt> </tt>
</div><a name="L45"></a><tt class="py-lineno"> 45</tt>  <tt class="py-line">         </tt>
<a name="L46"></a><tt class="py-lineno"> 46</tt>  <tt class="py-line">         </tt>
<a name="SimCornetProxy.get_count"></a><div id="SimCornetProxy.get_count-def"><a name="L47"></a><tt class="py-lineno"> 47</tt> <a class="py-toggle" href="#" id="SimCornetProxy.get_count-toggle" onclick="return toggle('SimCornetProxy.get_count');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#get_count">get_count</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec</tt><tt class="py-op">,</tt> <tt class="py-param">subcount</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">format</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.get_count-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.get_count-expanded"><a name="L48"></a><tt class="py-lineno"> 48</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L49"></a><tt class="py-lineno"> 49</tt>  <tt class="py-line"><tt class="py-docstring">        get_count(LU_SPEC[, SUBCOUNT[, FORMAT]]) --&gt; COUNTS</tt> </tt>
<a name="L50"></a><tt class="py-lineno"> 50</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L51"></a><tt class="py-lineno"> 51</tt>  <tt class="py-line"><tt class="py-docstring">        Get (sub)counts for lexical units satisfying this specification</tt> </tt>
<a name="L52"></a><tt class="py-lineno"> 52</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L53"></a><tt class="py-lineno"> 53</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:       </tt> </tt>
<a name="L54"></a><tt class="py-lineno"> 54</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L55"></a><tt class="py-lineno"> 55</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC string: lexical unit specification</tt> </tt>
<a name="L56"></a><tt class="py-lineno"> 56</tt>  <tt class="py-line"><tt class="py-docstring">            SUBCOUNT bool: return subcounts instead of plain counts</tt> </tt>
<a name="L57"></a><tt class="py-lineno"> 57</tt>  <tt class="py-line"><tt class="py-docstring">            FORMAT string: output format ("spec" or "xml")  </tt> </tt>
<a name="L58"></a><tt class="py-lineno"> 58</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L59"></a><tt class="py-lineno"> 59</tt>  <tt class="py-line"><tt class="py-docstring">            COUNTS struct: a mapping of lexical units to counts (possibly empty)</tt> </tt>
<a name="L60"></a><tt class="py-lineno"> 60</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L61"></a><tt class="py-lineno"> 61</tt>  <tt class="py-line"><tt class="py-docstring">        Examples (output in Python format):</tt> </tt>
<a name="L62"></a><tt class="py-lineno"> 62</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L63"></a><tt class="py-lineno"> 63</tt>  <tt class="py-line"><tt class="py-docstring">            $ get_counts("varen")</tt> </tt>
<a name="L64"></a><tt class="py-lineno"> 64</tt>  <tt class="py-line"><tt class="py-docstring">            {'varen:noun:1': 434,</tt> </tt>
<a name="L65"></a><tt class="py-lineno"> 65</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:1': 15803,</tt> </tt>
<a name="L66"></a><tt class="py-lineno"> 66</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:2': 15803,</tt> </tt>
<a name="L67"></a><tt class="py-lineno"> 67</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:3': 15803}</tt> </tt>
<a name="L68"></a><tt class="py-lineno"> 68</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L69"></a><tt class="py-lineno"> 69</tt>  <tt class="py-line"><tt class="py-docstring">            $ get_counts("varen", True)</tt> </tt>
<a name="L70"></a><tt class="py-lineno"> 70</tt>  <tt class="py-line"><tt class="py-docstring">            {'varen:noun:1': 434,</tt> </tt>
<a name="L71"></a><tt class="py-lineno"> 71</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:1': 18977,</tt> </tt>
<a name="L72"></a><tt class="py-lineno"> 72</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:2': 62086,</tt> </tt>
<a name="L73"></a><tt class="py-lineno"> 73</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:3': 15803}</tt> </tt>
<a name="L74"></a><tt class="py-lineno"> 74</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L75"></a><tt class="py-lineno"> 75</tt>  <tt class="py-line">        <tt class="py-comment"># counts may be None, which XML-RPC cannot handle</tt> </tt>
<a name="L76"></a><tt class="py-lineno"> 76</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-9" class="py-name" targets="Method cornetto.server.CornetProxy._safe_return()=cornetto.server.CornetProxy-class.html#_safe_return"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-9', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L77"></a><tt class="py-lineno"> 77</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt id="link-10" class="py-name" targets="Method cornetto.simcornet.SimCornet.get_count()=cornetto.simcornet.SimCornet-class.html#get_count,Method cornetto.simserver.SimCornetProxy.get_count()=cornetto.simserver.SimCornetProxy-class.html#get_count"><a title="cornetto.simcornet.SimCornet.get_count
cornetto.simserver.SimCornetProxy.get_count" class="py-name" href="#" onclick="return doclink('link-10', 'get_count', 'link-10');">get_count</a></tt><tt class="py-op">(</tt><tt class="py-name">lu_spec</tt><tt class="py-op">,</tt> <tt class="py-name">subcount</tt><tt class="py-op">,</tt> </tt>
<a name="L78"></a><tt class="py-lineno"> 78</tt>  <tt class="py-line">                                   <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-11" class="py-name" targets="Method cornetto.server.CornetProxy._safe_format()=cornetto.server.CornetProxy-class.html#_safe_format"><a title="cornetto.server.CornetProxy._safe_format" class="py-name" href="#" onclick="return doclink('link-11', '_safe_format', 'link-11');">_safe_format</a></tt><tt class="py-op">(</tt><tt class="py-name">format</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
</div><a name="L79"></a><tt class="py-lineno"> 79</tt>  <tt class="py-line">         </tt>
<a name="L80"></a><tt class="py-lineno"> 80</tt>  <tt class="py-line"> </tt>
<a name="SimCornetProxy.get_total_counts"></a><div id="SimCornetProxy.get_total_counts-def"><a name="L81"></a><tt class="py-lineno"> 81</tt> <a class="py-toggle" href="#" id="SimCornetProxy.get_total_counts-toggle" onclick="return toggle('SimCornetProxy.get_total_counts');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#get_total_counts">get_total_counts</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.get_total_counts-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.get_total_counts-expanded"><a name="L82"></a><tt class="py-lineno"> 82</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L83"></a><tt class="py-lineno"> 83</tt>  <tt class="py-line"><tt class="py-docstring">        get_total_counts() --&gt; COUNTS</tt> </tt>
<a name="L84"></a><tt class="py-lineno"> 84</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L85"></a><tt class="py-lineno"> 85</tt>  <tt class="py-line"><tt class="py-docstring">        Get the total counts per category and overall</tt> </tt>
<a name="L86"></a><tt class="py-lineno"> 86</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L87"></a><tt class="py-lineno"> 87</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:</tt> </tt>
<a name="L88"></a><tt class="py-lineno"> 88</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L89"></a><tt class="py-lineno"> 89</tt>  <tt class="py-line"><tt class="py-docstring">            COUNTS struct: a mapping of categories to counts</tt> </tt>
<a name="L90"></a><tt class="py-lineno"> 90</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L91"></a><tt class="py-lineno"> 91</tt>  <tt class="py-line"><tt class="py-docstring">        Remarks:</tt> </tt>
<a name="L92"></a><tt class="py-lineno"> 92</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L93"></a><tt class="py-lineno"> 93</tt>  <tt class="py-line"><tt class="py-docstring">            The categories are "noun", "verb", "adj", "other";</tt> </tt>
<a name="L94"></a><tt class="py-lineno"> 94</tt>  <tt class="py-line"><tt class="py-docstring">            "all" represents the overall count.</tt> </tt>
<a name="L95"></a><tt class="py-lineno"> 95</tt>  <tt class="py-line"><tt class="py-docstring">                       </tt> </tt>
<a name="L96"></a><tt class="py-lineno"> 96</tt>  <tt class="py-line"><tt class="py-docstring">        Example (output in Python format):</tt> </tt>
<a name="L97"></a><tt class="py-lineno"> 97</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L98"></a><tt class="py-lineno"> 98</tt>  <tt class="py-line"><tt class="py-docstring">            $ get_total_counts()</tt> </tt>
<a name="L99"></a><tt class="py-lineno"> 99</tt>  <tt class="py-line"><tt class="py-docstring">            {'adj': 62156445,</tt> </tt>
<a name="L100"></a><tt class="py-lineno">100</tt>  <tt class="py-line"><tt class="py-docstring">             'all': 518291832,</tt> </tt>
<a name="L101"></a><tt class="py-lineno">101</tt>  <tt class="py-line"><tt class="py-docstring">             'noun': 187143322,</tt> </tt>
<a name="L102"></a><tt class="py-lineno">102</tt>  <tt class="py-line"><tt class="py-docstring">             'other': 199269966,</tt> </tt>
<a name="L103"></a><tt class="py-lineno">103</tt>  <tt class="py-line"><tt class="py-docstring">             'verb': 69722099}</tt> </tt>
<a name="L104"></a><tt class="py-lineno">104</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L105"></a><tt class="py-lineno">105</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-12" class="py-name"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-12', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L106"></a><tt class="py-lineno">106</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt class="py-name">_cat2counts</tt><tt class="py-op">)</tt> </tt>
</div><a name="L107"></a><tt class="py-lineno">107</tt>  <tt class="py-line">     </tt>
<a name="L108"></a><tt class="py-lineno">108</tt>  <tt class="py-line">     </tt>
<a name="SimCornetProxy.get_probability"></a><div id="SimCornetProxy.get_probability-def"><a name="L109"></a><tt class="py-lineno">109</tt> <a class="py-toggle" href="#" id="SimCornetProxy.get_probability-toggle" onclick="return toggle('SimCornetProxy.get_probability');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#get_probability">get_probability</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec</tt><tt class="py-op">,</tt> <tt class="py-param">subcount</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">smooth</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> </tt>
<a name="L110"></a><tt class="py-lineno">110</tt>  <tt class="py-line">                        <tt class="py-param">cat_totals</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">format</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.get_probability-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.get_probability-expanded"><a name="L111"></a><tt class="py-lineno">111</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L112"></a><tt class="py-lineno">112</tt>  <tt class="py-line"><tt class="py-docstring">        get_probability(LU_SPEC[, SUBCOUNT[, SMOOTH[, CAT_TOTALS[, FORMAT]]]]  </tt> </tt>
<a name="L113"></a><tt class="py-lineno">113</tt>  <tt class="py-line"><tt class="py-docstring">        --&gt; PROB</tt> </tt>
<a name="L114"></a><tt class="py-lineno">114</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L115"></a><tt class="py-lineno">115</tt>  <tt class="py-line"><tt class="py-docstring">        Get probability (p) for lexical units satisfying this specification,</tt> </tt>
<a name="L116"></a><tt class="py-lineno">116</tt>  <tt class="py-line"><tt class="py-docstring">        where the probability is defined as lu_count / total_count.</tt> </tt>
<a name="L117"></a><tt class="py-lineno">117</tt>  <tt class="py-line"><tt class="py-docstring"></tt> </tt>
<a name="L118"></a><tt class="py-lineno">118</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:</tt> </tt>
<a name="L119"></a><tt class="py-lineno">119</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L120"></a><tt class="py-lineno">120</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC string: lexical unit specification</tt> </tt>
<a name="L121"></a><tt class="py-lineno">121</tt>  <tt class="py-line"><tt class="py-docstring">            SUBCOUNT bool: use subcounts instead of plain counts</tt> </tt>
<a name="L122"></a><tt class="py-lineno">122</tt>  <tt class="py-line"><tt class="py-docstring">            SMOOTH bool: smooth counts by adding one to lexical units with a zero count</tt> </tt>
<a name="L123"></a><tt class="py-lineno">123</tt>  <tt class="py-line"><tt class="py-docstring">            CAT_TOTALS bool: use total count for category of lexical unit</tt> </tt>
<a name="L124"></a><tt class="py-lineno">124</tt>  <tt class="py-line"><tt class="py-docstring">                instead of overall total count</tt> </tt>
<a name="L125"></a><tt class="py-lineno">125</tt>  <tt class="py-line"><tt class="py-docstring">            FORMAT string: output format ("spec" or "xml")  </tt> </tt>
<a name="L126"></a><tt class="py-lineno">126</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L127"></a><tt class="py-lineno">127</tt>  <tt class="py-line"><tt class="py-docstring">            PROB struct: a mapping of lexical units to probabilities </tt> </tt>
<a name="L128"></a><tt class="py-lineno">128</tt>  <tt class="py-line"><tt class="py-docstring">                (possibly empty)</tt> </tt>
<a name="L129"></a><tt class="py-lineno">129</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L130"></a><tt class="py-lineno">130</tt>  <tt class="py-line"><tt class="py-docstring">        Remarks:</tt> </tt>
<a name="L131"></a><tt class="py-lineno">131</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L132"></a><tt class="py-lineno">132</tt>  <tt class="py-line"><tt class="py-docstring">            By default, the total count this is taken to be the sum of counts over</tt> </tt>
<a name="L133"></a><tt class="py-lineno">133</tt>  <tt class="py-line"><tt class="py-docstring">            all word forms in the Cornetto database. However, when comparing two</tt> </tt>
<a name="L134"></a><tt class="py-lineno">134</tt>  <tt class="py-line"><tt class="py-docstring">            words of the same category (nouns, verbs, adjectives) it may be more</tt> </tt>
<a name="L135"></a><tt class="py-lineno">135</tt>  <tt class="py-line"><tt class="py-docstring">            appropriate to take the sum over only the word forms of this category.</tt> </tt>
<a name="L136"></a><tt class="py-lineno">136</tt>  <tt class="py-line"><tt class="py-docstring">            This method is used if the keyword "cat_totals" is true.</tt> </tt>
<a name="L137"></a><tt class="py-lineno">137</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L138"></a><tt class="py-lineno">138</tt>  <tt class="py-line"><tt class="py-docstring">        Examples (output in Python format):</tt> </tt>
<a name="L139"></a><tt class="py-lineno">139</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L140"></a><tt class="py-lineno">140</tt>  <tt class="py-line"><tt class="py-docstring">            $ get_probabilities("varen")</tt> </tt>
<a name="L141"></a><tt class="py-lineno">141</tt>  <tt class="py-line"><tt class="py-docstring">            {'varen:noun:1': 8.3736608066013281e-07,</tt> </tt>
<a name="L142"></a><tt class="py-lineno">142</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:1': 3.0490544176663777e-05,</tt> </tt>
<a name="L143"></a><tt class="py-lineno">143</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:2': 3.0490544176663777e-05,</tt> </tt>
<a name="L144"></a><tt class="py-lineno">144</tt>  <tt class="py-line"><tt class="py-docstring">             'varen:verb:3': 3.0490544176663777e-05}</tt> </tt>
<a name="L145"></a><tt class="py-lineno">145</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L146"></a><tt class="py-lineno">146</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-13" class="py-name"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-13', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L147"></a><tt class="py-lineno">147</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt id="link-14" class="py-name" targets="Method cornetto.simcornet.SimCornet.get_probability()=cornetto.simcornet.SimCornet-class.html#get_probability,Method cornetto.simserver.SimCornetProxy.get_probability()=cornetto.simserver.SimCornetProxy-class.html#get_probability"><a title="cornetto.simcornet.SimCornet.get_probability
cornetto.simserver.SimCornetProxy.get_probability" class="py-name" href="#" onclick="return doclink('link-14', 'get_probability', 'link-14');">get_probability</a></tt><tt class="py-op">(</tt><tt class="py-name">lu_spec</tt><tt class="py-op">,</tt> <tt class="py-name">subcount</tt><tt class="py-op">,</tt> <tt class="py-name">smooth</tt><tt class="py-op">,</tt> <tt class="py-name">cat_totals</tt><tt class="py-op">,</tt>  </tt>
<a name="L148"></a><tt class="py-lineno">148</tt>  <tt class="py-line">                                         <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-15" class="py-name"><a title="cornetto.server.CornetProxy._safe_format" class="py-name" href="#" onclick="return doclink('link-15', '_safe_format', 'link-11');">_safe_format</a></tt><tt class="py-op">(</tt><tt class="py-name">format</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
</div><a name="L149"></a><tt class="py-lineno">149</tt>  <tt class="py-line">         </tt>
<a name="L150"></a><tt class="py-lineno">150</tt>  <tt class="py-line">         </tt>
<a name="SimCornetProxy.get_info_content"></a><div id="SimCornetProxy.get_info_content-def"><a name="L151"></a><tt class="py-lineno">151</tt> <a class="py-toggle" href="#" id="SimCornetProxy.get_info_content-toggle" onclick="return toggle('SimCornetProxy.get_info_content');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#get_info_content">get_info_content</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec</tt><tt class="py-op">,</tt> <tt class="py-param">subcount</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">smooth</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">cat_totals</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> </tt>
<a name="L152"></a><tt class="py-lineno">152</tt>  <tt class="py-line">                         <tt class="py-param">format</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.get_info_content-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.get_info_content-expanded"><a name="L153"></a><tt class="py-lineno">153</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L154"></a><tt class="py-lineno">154</tt>  <tt class="py-line"><tt class="py-docstring">        get_info_content(LU_SPEC[, SUBCOUNT[, SMOOTH[, CAT_TOTALS[, FORMAT]]]]</tt> </tt>
<a name="L155"></a><tt class="py-lineno">155</tt>  <tt class="py-line"><tt class="py-docstring">        --&gt; IC</tt> </tt>
<a name="L156"></a><tt class="py-lineno">156</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L157"></a><tt class="py-lineno">157</tt>  <tt class="py-line"><tt class="py-docstring">        Get information content (IC) for lexical units satisfying this</tt> </tt>
<a name="L158"></a><tt class="py-lineno">158</tt>  <tt class="py-line"><tt class="py-docstring">        specification.</tt> </tt>
<a name="L159"></a><tt class="py-lineno">159</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L160"></a><tt class="py-lineno">160</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:</tt> </tt>
<a name="L161"></a><tt class="py-lineno">161</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L162"></a><tt class="py-lineno">162</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC string: lexical unit specification</tt> </tt>
<a name="L163"></a><tt class="py-lineno">163</tt>  <tt class="py-line"><tt class="py-docstring">            SUBCOUNT bool: use subcounts instead of plain counts</tt> </tt>
<a name="L164"></a><tt class="py-lineno">164</tt>  <tt class="py-line"><tt class="py-docstring">            SMOOTH bool: smooth counts by adding one to lexical units </tt> </tt>
<a name="L165"></a><tt class="py-lineno">165</tt>  <tt class="py-line"><tt class="py-docstring">                with a zero count</tt> </tt>
<a name="L166"></a><tt class="py-lineno">166</tt>  <tt class="py-line"><tt class="py-docstring">            CAT_TOTALS bool: use total count for category of lexical unit</tt> </tt>
<a name="L167"></a><tt class="py-lineno">167</tt>  <tt class="py-line"><tt class="py-docstring">                instead of overall total count</tt> </tt>
<a name="L168"></a><tt class="py-lineno">168</tt>  <tt class="py-line"><tt class="py-docstring">            FORMAT string: output format ("spec" or "xml")  </tt> </tt>
<a name="L169"></a><tt class="py-lineno">169</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L170"></a><tt class="py-lineno">170</tt>  <tt class="py-line"><tt class="py-docstring">            IC struct: a mapping of lexical units to information content </tt> </tt>
<a name="L171"></a><tt class="py-lineno">171</tt>  <tt class="py-line"><tt class="py-docstring">                (possibly empty)</tt> </tt>
<a name="L172"></a><tt class="py-lineno">172</tt>  <tt class="py-line"><tt class="py-docstring">                </tt> </tt>
<a name="L173"></a><tt class="py-lineno">173</tt>  <tt class="py-line"><tt class="py-docstring">        Remarks:</tt> </tt>
<a name="L174"></a><tt class="py-lineno">174</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L175"></a><tt class="py-lineno">175</tt>  <tt class="py-line"><tt class="py-docstring">            The information content defined as the negative log of the lexical</tt> </tt>
<a name="L176"></a><tt class="py-lineno">176</tt>  <tt class="py-line"><tt class="py-docstring">            unit's probability, i.e. -log_2(lu_count / total_count).</tt> </tt>
<a name="L177"></a><tt class="py-lineno">177</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L178"></a><tt class="py-lineno">178</tt>  <tt class="py-line"><tt class="py-docstring">            If a lexical unit has a count of zero, the probability is zero,</tt> </tt>
<a name="L179"></a><tt class="py-lineno">179</tt>  <tt class="py-line"><tt class="py-docstring">            the log is undefined, and None is returned. Unless the keyword</tt> </tt>
<a name="L180"></a><tt class="py-lineno">180</tt>  <tt class="py-line"><tt class="py-docstring">            "smooth" is true, in which case the count is smoothed by adding</tt> </tt>
<a name="L181"></a><tt class="py-lineno">181</tt>  <tt class="py-line"><tt class="py-docstring">            one.</tt> </tt>
<a name="L182"></a><tt class="py-lineno">182</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L183"></a><tt class="py-lineno">183</tt>  <tt class="py-line"><tt class="py-docstring">            If no lexical unit matches the specification, an empty mapping is</tt> </tt>
<a name="L184"></a><tt class="py-lineno">184</tt>  <tt class="py-line"><tt class="py-docstring">            returned.</tt> </tt>
<a name="L185"></a><tt class="py-lineno">185</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L186"></a><tt class="py-lineno">186</tt>  <tt class="py-line"><tt class="py-docstring">        Examples (output in Python format):</tt> </tt>
<a name="L187"></a><tt class="py-lineno">187</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L188"></a><tt class="py-lineno">188</tt>  <tt class="py-line"><tt class="py-docstring">            $ get_info_content("plant")</tt> </tt>
<a name="L189"></a><tt class="py-lineno">189</tt>  <tt class="py-line"><tt class="py-docstring">            {'plant:noun:1': 14.51769181264614}</tt> </tt>
<a name="L190"></a><tt class="py-lineno">190</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L191"></a><tt class="py-lineno">191</tt>  <tt class="py-line"><tt class="py-docstring">            &gt;&gt;&gt; pprint(c.get_info_content("plant", subcount=True))</tt> </tt>
<a name="L192"></a><tt class="py-lineno">192</tt>  <tt class="py-line"><tt class="py-docstring">            {'plant:noun:1': 10.482770362490861}</tt> </tt>
<a name="L193"></a><tt class="py-lineno">193</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L194"></a><tt class="py-lineno">194</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-16" class="py-name"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-16', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L195"></a><tt class="py-lineno">195</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt id="link-17" class="py-name" targets="Method cornetto.simcornet.SimCornet.get_info_content()=cornetto.simcornet.SimCornet-class.html#get_info_content,Method cornetto.simserver.SimCornetProxy.get_info_content()=cornetto.simserver.SimCornetProxy-class.html#get_info_content"><a title="cornetto.simcornet.SimCornet.get_info_content
cornetto.simserver.SimCornetProxy.get_info_content" class="py-name" href="#" onclick="return doclink('link-17', 'get_info_content', 'link-17');">get_info_content</a></tt><tt class="py-op">(</tt><tt class="py-name">lu_spec</tt><tt class="py-op">,</tt> <tt class="py-name">subcount</tt><tt class="py-op">,</tt> <tt class="py-name">smooth</tt><tt class="py-op">,</tt> <tt class="py-name">cat_totals</tt><tt class="py-op">,</tt>  </tt>
<a name="L196"></a><tt class="py-lineno">196</tt>  <tt class="py-line">                                          <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-18" class="py-name"><a title="cornetto.server.CornetProxy._safe_format" class="py-name" href="#" onclick="return doclink('link-18', '_safe_format', 'link-11');">_safe_format</a></tt><tt class="py-op">(</tt><tt class="py-name">format</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
</div><a name="L197"></a><tt class="py-lineno">197</tt>  <tt class="py-line">         </tt>
<a name="L198"></a><tt class="py-lineno">198</tt>  <tt class="py-line">             </tt>
<a name="SimCornetProxy.resnik_sim"></a><div id="SimCornetProxy.resnik_sim-def"><a name="L199"></a><tt class="py-lineno">199</tt> <a class="py-toggle" href="#" id="SimCornetProxy.resnik_sim-toggle" onclick="return toggle('SimCornetProxy.resnik_sim');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#resnik_sim">resnik_sim</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec2</tt><tt class="py-op">,</tt> <tt class="py-param">smooth</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">cat_totals</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> </tt>
<a name="L200"></a><tt class="py-lineno">200</tt>  <tt class="py-line">                   <tt class="py-param">format</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.resnik_sim-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.resnik_sim-expanded"><a name="L201"></a><tt class="py-lineno">201</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L202"></a><tt class="py-lineno">202</tt>  <tt class="py-line"><tt class="py-docstring">        resnik_sim(LU_SPEC1, LU_SPEC2[, SMOOTH[, CAT_TOTALS[, FORMAT]]]</tt> </tt>
<a name="L203"></a><tt class="py-lineno">203</tt>  <tt class="py-line"><tt class="py-docstring">         --&gt; SIM</tt> </tt>
<a name="L204"></a><tt class="py-lineno">204</tt>  <tt class="py-line"><tt class="py-docstring">         </tt> </tt>
<a name="L205"></a><tt class="py-lineno">205</tt>  <tt class="py-line"><tt class="py-docstring">        Compute the semantic similarity as decribed in Philip Resnik's paper</tt> </tt>
<a name="L206"></a><tt class="py-lineno">206</tt>  <tt class="py-line"><tt class="py-docstring">        "Using Information Content to Evaluate Semantic Similarity in a</tt> </tt>
<a name="L207"></a><tt class="py-lineno">207</tt>  <tt class="py-line"><tt class="py-docstring">        Taxonomy" (1995). </tt> </tt>
<a name="L208"></a><tt class="py-lineno">208</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L209"></a><tt class="py-lineno">209</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:</tt> </tt>
<a name="L210"></a><tt class="py-lineno">210</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L211"></a><tt class="py-lineno">211</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_1 string: first lexical unit specification</tt> </tt>
<a name="L212"></a><tt class="py-lineno">212</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_2 string: second lexical unit specification</tt> </tt>
<a name="L213"></a><tt class="py-lineno">213</tt>  <tt class="py-line"><tt class="py-docstring">            SMOOTH bool: smooth counts by adding one to lexical units </tt> </tt>
<a name="L214"></a><tt class="py-lineno">214</tt>  <tt class="py-line"><tt class="py-docstring">                with a zero count</tt> </tt>
<a name="L215"></a><tt class="py-lineno">215</tt>  <tt class="py-line"><tt class="py-docstring">            CAT_TOTALS bool: use total count for category of lexical unit</tt> </tt>
<a name="L216"></a><tt class="py-lineno">216</tt>  <tt class="py-line"><tt class="py-docstring">                instead of overall total count</tt> </tt>
<a name="L217"></a><tt class="py-lineno">217</tt>  <tt class="py-line"><tt class="py-docstring">            FORMAT string: output format ("spec" or "xml")</tt> </tt>
<a name="L218"></a><tt class="py-lineno">218</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L219"></a><tt class="py-lineno">219</tt>  <tt class="py-line"><tt class="py-docstring">            SIM float or False: similarity score greater than or equal </tt> </tt>
<a name="L220"></a><tt class="py-lineno">220</tt>  <tt class="py-line"><tt class="py-docstring">                to zero, or False</tt> </tt>
<a name="L221"></a><tt class="py-lineno">221</tt>  <tt class="py-line"><tt class="py-docstring">                </tt> </tt>
<a name="L222"></a><tt class="py-lineno">222</tt>  <tt class="py-line"><tt class="py-docstring">        Remarks:</tt> </tt>
<a name="L223"></a><tt class="py-lineno">223</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L224"></a><tt class="py-lineno">224</tt>  <tt class="py-line"><tt class="py-docstring">            Resnik's similarity is defined for a pair of concepts c1 and c2</tt> </tt>
<a name="L225"></a><tt class="py-lineno">225</tt>  <tt class="py-line"><tt class="py-docstring">            as:</tt> </tt>
<a name="L226"></a><tt class="py-lineno">226</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L227"></a><tt class="py-lineno">227</tt>  <tt class="py-line"><tt class="py-docstring">                argmax [IC(c1) + IC(c2) - 2 * IC(lcs)] for all lcs in LCS(c1, c2)</tt> </tt>
<a name="L228"></a><tt class="py-lineno">228</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L229"></a><tt class="py-lineno">229</tt>  <tt class="py-line"><tt class="py-docstring">            In other words, the maximum value of the information content over</tt> </tt>
<a name="L230"></a><tt class="py-lineno">230</tt>  <tt class="py-line"><tt class="py-docstring">            all least common subsumers of two concepts. An important point is</tt> </tt>
<a name="L231"></a><tt class="py-lineno">231</tt>  <tt class="py-line"><tt class="py-docstring">            that the counts of an LCS, as used in computing its probabilty, is</tt> </tt>
<a name="L232"></a><tt class="py-lineno">232</tt>  <tt class="py-line"><tt class="py-docstring">            the sum of its own count plus the counts of all concepts that it</tt> </tt>
<a name="L233"></a><tt class="py-lineno">233</tt>  <tt class="py-line"><tt class="py-docstring">            subsumes.</tt> </tt>
<a name="L234"></a><tt class="py-lineno">234</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L235"></a><tt class="py-lineno">235</tt>  <tt class="py-line"><tt class="py-docstring">            As suggested by Resnik, it can be extended to _word_ similarity by</tt> </tt>
<a name="L236"></a><tt class="py-lineno">236</tt>  <tt class="py-line"><tt class="py-docstring">            taking the maximum over the scores for all concepts that are</tt> </tt>
<a name="L237"></a><tt class="py-lineno">237</tt>  <tt class="py-line"><tt class="py-docstring">            senses of the word. This means that if just two words are</tt> </tt>
<a name="L238"></a><tt class="py-lineno">238</tt>  <tt class="py-line"><tt class="py-docstring">            specified - without a category or sense - two sets of matching</tt> </tt>
<a name="L239"></a><tt class="py-lineno">239</tt>  <tt class="py-line"><tt class="py-docstring">            lexical units are retrieved. For every combination of lexical</tt> </tt>
<a name="L240"></a><tt class="py-lineno">240</tt>  <tt class="py-line"><tt class="py-docstring">            units from these two sets, the LCS is computed (if any), and the</tt> </tt>
<a name="L241"></a><tt class="py-lineno">241</tt>  <tt class="py-line"><tt class="py-docstring">            one with the maximum information content is selected.</tt> </tt>
<a name="L242"></a><tt class="py-lineno">242</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L243"></a><tt class="py-lineno">243</tt>  <tt class="py-line"><tt class="py-docstring">            If no LCS is found, this can mean two things: </tt> </tt>
<a name="L244"></a><tt class="py-lineno">244</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L245"></a><tt class="py-lineno">245</tt>  <tt class="py-line"><tt class="py-docstring">                1. The two words have no LCS because they truely have </tt> </tt>
<a name="L246"></a><tt class="py-lineno">246</tt>  <tt class="py-line"><tt class="py-docstring">                   nothing in common. In this case we assume the LCS is zero and </tt> </tt>
<a name="L247"></a><tt class="py-lineno">247</tt>  <tt class="py-line"><tt class="py-docstring">                   therefore we return zero.</tt> </tt>
<a name="L248"></a><tt class="py-lineno">248</tt>  <tt class="py-line"><tt class="py-docstring">                2. The two words should have something in common, but the </tt> </tt>
<a name="L249"></a><tt class="py-lineno">249</tt>  <tt class="py-line"><tt class="py-docstring">                   correct LCS is not present in the Cornetto database. </tt> </tt>
<a name="L250"></a><tt class="py-lineno">250</tt>  <tt class="py-line"><tt class="py-docstring">                   However, since there is no way to know this, we consider this </tt> </tt>
<a name="L251"></a><tt class="py-lineno">251</tt>  <tt class="py-line"><tt class="py-docstring">                   the same as (1), and zero is returned.</tt> </tt>
<a name="L252"></a><tt class="py-lineno">252</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L253"></a><tt class="py-lineno">253</tt>  <tt class="py-line"><tt class="py-docstring">            There are two more marginal cases:</tt> </tt>
<a name="L254"></a><tt class="py-lineno">254</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L255"></a><tt class="py-lineno">255</tt>  <tt class="py-line"><tt class="py-docstring">                1. No lexical units in the Cornetto database match the </tt> </tt>
<a name="L256"></a><tt class="py-lineno">256</tt>  <tt class="py-line"><tt class="py-docstring">                   specifications. </tt> </tt>
<a name="L257"></a><tt class="py-lineno">257</tt>  <tt class="py-line"><tt class="py-docstring">                2. All LCS have a subcount of zero, and no smoothing was applied,</tt> </tt>
<a name="L258"></a><tt class="py-lineno">258</tt>  <tt class="py-line"><tt class="py-docstring">                   so its IC is undefined. </tt> </tt>
<a name="L259"></a><tt class="py-lineno">259</tt>  <tt class="py-line"><tt class="py-docstring">                   </tt> </tt>
<a name="L260"></a><tt class="py-lineno">260</tt>  <tt class="py-line"><tt class="py-docstring">            In both cases False is returned.</tt> </tt>
<a name="L261"></a><tt class="py-lineno">261</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L262"></a><tt class="py-lineno">262</tt>  <tt class="py-line"><tt class="py-docstring">            Notice that it is difficult to compare Resnik's word similarities,</tt> </tt>
<a name="L263"></a><tt class="py-lineno">263</tt>  <tt class="py-line"><tt class="py-docstring">            because they depend on the subcounts. With identical words, for</tt> </tt>
<a name="L264"></a><tt class="py-lineno">264</tt>  <tt class="py-line"><tt class="py-docstring">            instance:</tt> </tt>
<a name="L265"></a><tt class="py-lineno">265</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L266"></a><tt class="py-lineno">266</tt>  <tt class="py-line"><tt class="py-docstring">                resnik_sim("iets", "iets") = 1.3113543459343666 whereas</tt> </tt>
<a name="L267"></a><tt class="py-lineno">267</tt>  <tt class="py-line"><tt class="py-docstring">                resnik_sim("spotje", "spotje") = 25.141834494846584</tt> </tt>
<a name="L268"></a><tt class="py-lineno">268</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L269"></a><tt class="py-lineno">269</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-19" class="py-name"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-19', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L270"></a><tt class="py-lineno">270</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt id="link-20" class="py-name" targets="Method cornetto.simcornet.SimCornet.resnik_sim()=cornetto.simcornet.SimCornet-class.html#resnik_sim,Method cornetto.simserver.SimCornetProxy.resnik_sim()=cornetto.simserver.SimCornetProxy-class.html#resnik_sim"><a title="cornetto.simcornet.SimCornet.resnik_sim
cornetto.simserver.SimCornetProxy.resnik_sim" class="py-name" href="#" onclick="return doclink('link-20', 'resnik_sim', 'link-20');">resnik_sim</a></tt><tt class="py-op">(</tt><tt class="py-name">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-name">lu_spec2</tt><tt class="py-op">,</tt>  <tt class="py-name">smooth</tt><tt class="py-op">,</tt> <tt class="py-name">cat_totals</tt><tt class="py-op">,</tt>  </tt>
<a name="L271"></a><tt class="py-lineno">271</tt>  <tt class="py-line">                                    <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-21" class="py-name"><a title="cornetto.server.CornetProxy._safe_format" class="py-name" href="#" onclick="return doclink('link-21', '_safe_format', 'link-11');">_safe_format</a></tt><tt class="py-op">(</tt><tt class="py-name">format</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
</div><a name="L272"></a><tt class="py-lineno">272</tt>  <tt class="py-line">     </tt>
<a name="L273"></a><tt class="py-lineno">273</tt>  <tt class="py-line">     </tt>
<a name="SimCornetProxy.jiang_conrath_dist"></a><div id="SimCornetProxy.jiang_conrath_dist-def"><a name="L274"></a><tt class="py-lineno">274</tt> <a class="py-toggle" href="#" id="SimCornetProxy.jiang_conrath_dist-toggle" onclick="return toggle('SimCornetProxy.jiang_conrath_dist');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#jiang_conrath_dist">jiang_conrath_dist</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec2</tt><tt class="py-op">,</tt> <tt class="py-param">smooth</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> </tt>
<a name="L275"></a><tt class="py-lineno">275</tt>  <tt class="py-line">                           <tt class="py-param">cat_totals</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">format</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.jiang_conrath_dist-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.jiang_conrath_dist-expanded"><a name="L276"></a><tt class="py-lineno">276</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L277"></a><tt class="py-lineno">277</tt>  <tt class="py-line"><tt class="py-docstring">        jiang_conrath_dist(LU_SPEC1, LU_SPEC2[, SMOOTH[, CAT_TOTALS[, FORMAT]]]</tt> </tt>
<a name="L278"></a><tt class="py-lineno">278</tt>  <tt class="py-line"><tt class="py-docstring">         --&gt; DIST</tt> </tt>
<a name="L279"></a><tt class="py-lineno">279</tt>  <tt class="py-line"><tt class="py-docstring">         </tt> </tt>
<a name="L280"></a><tt class="py-lineno">280</tt>  <tt class="py-line"><tt class="py-docstring">        Compute the semantic distance as decribed in Jay Jiang &amp; David</tt> </tt>
<a name="L281"></a><tt class="py-lineno">281</tt>  <tt class="py-line"><tt class="py-docstring">        Conrath's paper "Semantic Similarity Based on Corpus Statistics and</tt> </tt>
<a name="L282"></a><tt class="py-lineno">282</tt>  <tt class="py-line"><tt class="py-docstring">        Lexical Taxonomy" (1997). </tt> </tt>
<a name="L283"></a><tt class="py-lineno">283</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L284"></a><tt class="py-lineno">284</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:</tt> </tt>
<a name="L285"></a><tt class="py-lineno">285</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L286"></a><tt class="py-lineno">286</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_1 string: first lexical unit specification</tt> </tt>
<a name="L287"></a><tt class="py-lineno">287</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_2 string: second lexical unit specification</tt> </tt>
<a name="L288"></a><tt class="py-lineno">288</tt>  <tt class="py-line"><tt class="py-docstring">            SMOOTH bool: smooth counts by adding one to lexical units </tt> </tt>
<a name="L289"></a><tt class="py-lineno">289</tt>  <tt class="py-line"><tt class="py-docstring">                with a zero count</tt> </tt>
<a name="L290"></a><tt class="py-lineno">290</tt>  <tt class="py-line"><tt class="py-docstring">            CAT_TOTALS bool: use total count for category of lexical unit</tt> </tt>
<a name="L291"></a><tt class="py-lineno">291</tt>  <tt class="py-line"><tt class="py-docstring">                instead of overall total count</tt> </tt>
<a name="L292"></a><tt class="py-lineno">292</tt>  <tt class="py-line"><tt class="py-docstring">            FORMAT string: output format ("spec" or "xml")</tt> </tt>
<a name="L293"></a><tt class="py-lineno">293</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L294"></a><tt class="py-lineno">294</tt>  <tt class="py-line"><tt class="py-docstring">            DIST float or False: distance greater than of equal to zero,</tt> </tt>
<a name="L295"></a><tt class="py-lineno">295</tt>  <tt class="py-line"><tt class="py-docstring">                or False</tt> </tt>
<a name="L296"></a><tt class="py-lineno">296</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L297"></a><tt class="py-lineno">297</tt>  <tt class="py-line"><tt class="py-docstring">        Remarks:</tt> </tt>
<a name="L298"></a><tt class="py-lineno">298</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L299"></a><tt class="py-lineno">299</tt>  <tt class="py-line"><tt class="py-docstring">            The Jiang &amp; Conrath distance is defined for a pair of concepts c1</tt> </tt>
<a name="L300"></a><tt class="py-lineno">300</tt>  <tt class="py-line"><tt class="py-docstring">            and c2 as:</tt> </tt>
<a name="L301"></a><tt class="py-lineno">301</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L302"></a><tt class="py-lineno">302</tt>  <tt class="py-line"><tt class="py-docstring">                argmin [IC(c1) + IC(c2) - 2 * IC(lcs)] </tt> </tt>
<a name="L303"></a><tt class="py-lineno">303</tt>  <tt class="py-line"><tt class="py-docstring">                for all lcs in LCS(c1, c2)</tt> </tt>
<a name="L304"></a><tt class="py-lineno">304</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L305"></a><tt class="py-lineno">305</tt>  <tt class="py-line"><tt class="py-docstring">            This is without the edge and node weighting scheme, which is not</tt> </tt>
<a name="L306"></a><tt class="py-lineno">306</tt>  <tt class="py-line"><tt class="py-docstring">            implemented here. The measure is extended to a _word_ distance</tt> </tt>
<a name="L307"></a><tt class="py-lineno">307</tt>  <tt class="py-line"><tt class="py-docstring">            measure by taking the minimum over the scores for all concepts</tt> </tt>
<a name="L308"></a><tt class="py-lineno">308</tt>  <tt class="py-line"><tt class="py-docstring">            (lexical units) that are senses of the word (cf. doc of</tt> </tt>
<a name="L309"></a><tt class="py-lineno">309</tt>  <tt class="py-line"><tt class="py-docstring">            resnik_sim).</tt> </tt>
<a name="L310"></a><tt class="py-lineno">310</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L311"></a><tt class="py-lineno">311</tt>  <tt class="py-line"><tt class="py-docstring">            If no LCS is found, this can mean two things: </tt> </tt>
<a name="L312"></a><tt class="py-lineno">312</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L313"></a><tt class="py-lineno">313</tt>  <tt class="py-line"><tt class="py-docstring">                1. The two words have no LCS because they truely have nothing</tt> </tt>
<a name="L314"></a><tt class="py-lineno">314</tt>  <tt class="py-line"><tt class="py-docstring">                   in common. In this case we assume the LCS is zero and</tt> </tt>
<a name="L315"></a><tt class="py-lineno">315</tt>  <tt class="py-line"><tt class="py-docstring">                   therefore we return the minimun of IC(c1) + IC(c2).</tt> </tt>
<a name="L316"></a><tt class="py-lineno">316</tt>  <tt class="py-line"><tt class="py-docstring">                2. The two words should have something in common, but the</tt> </tt>
<a name="L317"></a><tt class="py-lineno">317</tt>  <tt class="py-line"><tt class="py-docstring">                   correct LCS is not present in the Cornetto database. </tt> </tt>
<a name="L318"></a><tt class="py-lineno">318</tt>  <tt class="py-line"><tt class="py-docstring">                   However, since there is no way to know this, we consider </tt> </tt>
<a name="L319"></a><tt class="py-lineno">319</tt>  <tt class="py-line"><tt class="py-docstring">                   this the same as (1), and we return the minimun of </tt> </tt>
<a name="L320"></a><tt class="py-lineno">320</tt>  <tt class="py-line"><tt class="py-docstring">                   IC(c1) + IC(c2).</tt> </tt>
<a name="L321"></a><tt class="py-lineno">321</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L322"></a><tt class="py-lineno">322</tt>  <tt class="py-line"><tt class="py-docstring">            There are three more marginal cases:</tt> </tt>
<a name="L323"></a><tt class="py-lineno">323</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L324"></a><tt class="py-lineno">324</tt>  <tt class="py-line"><tt class="py-docstring">                1. No lexical units in the Cornetto database match the </tt> </tt>
<a name="L325"></a><tt class="py-lineno">325</tt>  <tt class="py-line"><tt class="py-docstring">                   specifications.</tt> </tt>
<a name="L326"></a><tt class="py-lineno">326</tt>  <tt class="py-line"><tt class="py-docstring">                2. All matching lexical units have a subcount of zero,</tt> </tt>
<a name="L327"></a><tt class="py-lineno">327</tt>  <tt class="py-line"><tt class="py-docstring">                   and no smoothing was applied, so their IC is undefined. </tt> </tt>
<a name="L328"></a><tt class="py-lineno">328</tt>  <tt class="py-line"><tt class="py-docstring">                3. All LCS have a subcount of zero, and no smoothing was </tt> </tt>
<a name="L329"></a><tt class="py-lineno">329</tt>  <tt class="py-line"><tt class="py-docstring">                   applied, so its IC is undefined. This implies that </tt> </tt>
<a name="L330"></a><tt class="py-lineno">330</tt>  <tt class="py-line"><tt class="py-docstring">                   all subsumed lexical units must have a subcount of zero, </tt> </tt>
<a name="L331"></a><tt class="py-lineno">331</tt>  <tt class="py-line"><tt class="py-docstring">                   and therefore (2) must be the case as well.  </tt> </tt>
<a name="L332"></a><tt class="py-lineno">332</tt>  <tt class="py-line"><tt class="py-docstring">                   </tt> </tt>
<a name="L333"></a><tt class="py-lineno">333</tt>  <tt class="py-line"><tt class="py-docstring">            In all of these three cases False is returned.</tt> </tt>
<a name="L334"></a><tt class="py-lineno">334</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L335"></a><tt class="py-lineno">335</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-22" class="py-name"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-22', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L336"></a><tt class="py-lineno">336</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt id="link-23" class="py-name" targets="Method cornetto.simcornet.SimCornet.jiang_conrath_dist()=cornetto.simcornet.SimCornet-class.html#jiang_conrath_dist,Method cornetto.simserver.SimCornetProxy.jiang_conrath_dist()=cornetto.simserver.SimCornetProxy-class.html#jiang_conrath_dist"><a title="cornetto.simcornet.SimCornet.jiang_conrath_dist
cornetto.simserver.SimCornetProxy.jiang_conrath_dist" class="py-name" href="#" onclick="return doclink('link-23', 'jiang_conrath_dist', 'link-23');">jiang_conrath_dist</a></tt><tt class="py-op">(</tt><tt class="py-name">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-name">lu_spec2</tt><tt class="py-op">,</tt>   </tt>
<a name="L337"></a><tt class="py-lineno">337</tt>  <tt class="py-line">                                            <tt class="py-name">smooth</tt><tt class="py-op">,</tt> <tt class="py-name">cat_totals</tt><tt class="py-op">,</tt>  </tt>
<a name="L338"></a><tt class="py-lineno">338</tt>  <tt class="py-line">                                            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-24" class="py-name"><a title="cornetto.server.CornetProxy._safe_format" class="py-name" href="#" onclick="return doclink('link-24', '_safe_format', 'link-11');">_safe_format</a></tt><tt class="py-op">(</tt><tt class="py-name">format</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
</div><a name="L339"></a><tt class="py-lineno">339</tt>  <tt class="py-line">         </tt>
<a name="L340"></a><tt class="py-lineno">340</tt>  <tt class="py-line">     </tt>
<a name="SimCornetProxy.jiang_conrath_sim"></a><div id="SimCornetProxy.jiang_conrath_sim-def"><a name="L341"></a><tt class="py-lineno">341</tt> <a class="py-toggle" href="#" id="SimCornetProxy.jiang_conrath_sim-toggle" onclick="return toggle('SimCornetProxy.jiang_conrath_sim');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#jiang_conrath_sim">jiang_conrath_sim</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec2</tt><tt class="py-op">,</tt> <tt class="py-param">smooth</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> </tt>
<a name="L342"></a><tt class="py-lineno">342</tt>  <tt class="py-line">                          <tt class="py-param">cat_totals</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">format</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.jiang_conrath_sim-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.jiang_conrath_sim-expanded"><a name="L343"></a><tt class="py-lineno">343</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L344"></a><tt class="py-lineno">344</tt>  <tt class="py-line"><tt class="py-docstring">        jiang_conrath_sim(LU_SPEC1, LU_SPEC2[, SMOOTH[, CAT_TOTALS[, FORMAT]]]</tt> </tt>
<a name="L345"></a><tt class="py-lineno">345</tt>  <tt class="py-line"><tt class="py-docstring">         --&gt; SIM</tt> </tt>
<a name="L346"></a><tt class="py-lineno">346</tt>  <tt class="py-line"><tt class="py-docstring">         </tt> </tt>
<a name="L347"></a><tt class="py-lineno">347</tt>  <tt class="py-line"><tt class="py-docstring">        Returns Jiang &amp; Conrath similarity. See jiang_conrath_dist</tt> </tt>
<a name="L348"></a><tt class="py-lineno">348</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L349"></a><tt class="py-lineno">349</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:</tt> </tt>
<a name="L350"></a><tt class="py-lineno">350</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L351"></a><tt class="py-lineno">351</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_1 string: first lexical unit specification</tt> </tt>
<a name="L352"></a><tt class="py-lineno">352</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_2 string: second lexical unit specification</tt> </tt>
<a name="L353"></a><tt class="py-lineno">353</tt>  <tt class="py-line"><tt class="py-docstring">            SMOOTH bool: smooth counts by adding one to lexical units </tt> </tt>
<a name="L354"></a><tt class="py-lineno">354</tt>  <tt class="py-line"><tt class="py-docstring">                with a zero count</tt> </tt>
<a name="L355"></a><tt class="py-lineno">355</tt>  <tt class="py-line"><tt class="py-docstring">            CAT_TOTALS bool: use total count for category of lexical unit</tt> </tt>
<a name="L356"></a><tt class="py-lineno">356</tt>  <tt class="py-line"><tt class="py-docstring">                instead of overall total count</tt> </tt>
<a name="L357"></a><tt class="py-lineno">357</tt>  <tt class="py-line"><tt class="py-docstring">            FORMAT string: output format ("spec" or "xml")</tt> </tt>
<a name="L358"></a><tt class="py-lineno">358</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L359"></a><tt class="py-lineno">359</tt>  <tt class="py-line"><tt class="py-docstring">            SIM float or False: similarity between zero and one included,</tt> </tt>
<a name="L360"></a><tt class="py-lineno">360</tt>  <tt class="py-line"><tt class="py-docstring">                or False</tt> </tt>
<a name="L361"></a><tt class="py-lineno">361</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L362"></a><tt class="py-lineno">362</tt>  <tt class="py-line"><tt class="py-docstring">        Remarks:</tt> </tt>
<a name="L363"></a><tt class="py-lineno">363</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L364"></a><tt class="py-lineno">364</tt>  <tt class="py-line"><tt class="py-docstring">            The Jiang &amp; Conrath's similarity is defined as</tt> </tt>
<a name="L365"></a><tt class="py-lineno">365</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L366"></a><tt class="py-lineno">366</tt>  <tt class="py-line"><tt class="py-docstring">                1 / (1 + jiang_conrath_dist) </tt> </tt>
<a name="L367"></a><tt class="py-lineno">367</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L368"></a><tt class="py-lineno">368</tt>  <tt class="py-line"><tt class="py-docstring">            If the distance is False, so is the similarity.</tt> </tt>
<a name="L369"></a><tt class="py-lineno">369</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L370"></a><tt class="py-lineno">370</tt>  <tt class="py-line"><tt class="py-docstring">            The translation from distance to similarity is not uniform. That</tt> </tt>
<a name="L371"></a><tt class="py-lineno">371</tt>  <tt class="py-line"><tt class="py-docstring">            is, the space between the distances 1 and 2 and between the</tt> </tt>
<a name="L372"></a><tt class="py-lineno">372</tt>  <tt class="py-line"><tt class="py-docstring">            distances 2 and 3 is the same (i.e. 1), but the space between the</tt> </tt>
<a name="L373"></a><tt class="py-lineno">373</tt>  <tt class="py-line"><tt class="py-docstring">            corresponding similaraties, i.e. between 0.5 and 0.33 and between</tt> </tt>
<a name="L374"></a><tt class="py-lineno">374</tt>  <tt class="py-line"><tt class="py-docstring">            0.33 and 0.25, is not.</tt> </tt>
<a name="L375"></a><tt class="py-lineno">375</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L376"></a><tt class="py-lineno">376</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-25" class="py-name"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-25', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L377"></a><tt class="py-lineno">377</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt id="link-26" class="py-name" targets="Method cornetto.simcornet.SimCornet.jiang_conrath_sim()=cornetto.simcornet.SimCornet-class.html#jiang_conrath_sim,Method cornetto.simserver.SimCornetProxy.jiang_conrath_sim()=cornetto.simserver.SimCornetProxy-class.html#jiang_conrath_sim"><a title="cornetto.simcornet.SimCornet.jiang_conrath_sim
cornetto.simserver.SimCornetProxy.jiang_conrath_sim" class="py-name" href="#" onclick="return doclink('link-26', 'jiang_conrath_sim', 'link-26');">jiang_conrath_sim</a></tt><tt class="py-op">(</tt><tt class="py-name">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-name">lu_spec2</tt><tt class="py-op">,</tt>   </tt>
<a name="L378"></a><tt class="py-lineno">378</tt>  <tt class="py-line">                                           <tt class="py-name">smooth</tt><tt class="py-op">,</tt> <tt class="py-name">cat_totals</tt><tt class="py-op">,</tt>  </tt>
<a name="L379"></a><tt class="py-lineno">379</tt>  <tt class="py-line">                                           <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-27" class="py-name"><a title="cornetto.server.CornetProxy._safe_format" class="py-name" href="#" onclick="return doclink('link-27', '_safe_format', 'link-11');">_safe_format</a></tt><tt class="py-op">(</tt><tt class="py-name">format</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">)</tt>  </tt>
</div><a name="L380"></a><tt class="py-lineno">380</tt>  <tt class="py-line">     </tt>
<a name="L381"></a><tt class="py-lineno">381</tt>  <tt class="py-line">     </tt>
<a name="SimCornetProxy.lin_sim"></a><div id="SimCornetProxy.lin_sim-def"><a name="L382"></a><tt class="py-lineno">382</tt> <a class="py-toggle" href="#" id="SimCornetProxy.lin_sim-toggle" onclick="return toggle('SimCornetProxy.lin_sim');">-</a><tt class="py-line">    <tt class="py-keyword">def</tt> <a class="py-def-name" href="cornetto.simserver.SimCornetProxy-class.html#lin_sim">lin_sim</a><tt class="py-op">(</tt><tt class="py-param">self</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-param">lu_spec2</tt><tt class="py-op">,</tt> <tt class="py-param">smooth</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> <tt class="py-param">cat_totals</tt><tt class="py-op">=</tt><tt class="py-name">False</tt><tt class="py-op">,</tt> </tt>
<a name="L383"></a><tt class="py-lineno">383</tt>  <tt class="py-line">                <tt class="py-param">format</tt><tt class="py-op">=</tt><tt class="py-name">None</tt><tt class="py-op">)</tt><tt class="py-op">:</tt> </tt>
</div><div id="SimCornetProxy.lin_sim-collapsed" style="display:none;" pad="+++" indent="++++++++"></div><div id="SimCornetProxy.lin_sim-expanded"><a name="L384"></a><tt class="py-lineno">384</tt>  <tt class="py-line">        <tt class="py-docstring">"""</tt> </tt>
<a name="L385"></a><tt class="py-lineno">385</tt>  <tt class="py-line"><tt class="py-docstring">        lin_sim(LU_SPEC1, LU_SPEC2[, SMOOTH[, CAT_TOTALS[, FORMAT]]]</tt> </tt>
<a name="L386"></a><tt class="py-lineno">386</tt>  <tt class="py-line"><tt class="py-docstring">         --&gt; SIM</tt> </tt>
<a name="L387"></a><tt class="py-lineno">387</tt>  <tt class="py-line"><tt class="py-docstring">         </tt> </tt>
<a name="L388"></a><tt class="py-lineno">388</tt>  <tt class="py-line"><tt class="py-docstring">        Compute the semantic similarity as decribed in the paper Dekang Lin's </tt> </tt>
<a name="L389"></a><tt class="py-lineno">389</tt>  <tt class="py-line"><tt class="py-docstring">        paper "An information-theoretic definition of similarity" (1998).</tt> </tt>
<a name="L390"></a><tt class="py-lineno">390</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L391"></a><tt class="py-lineno">391</tt>  <tt class="py-line"><tt class="py-docstring">        Parameters:</tt> </tt>
<a name="L392"></a><tt class="py-lineno">392</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L393"></a><tt class="py-lineno">393</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_1 string: first lexical unit specification</tt> </tt>
<a name="L394"></a><tt class="py-lineno">394</tt>  <tt class="py-line"><tt class="py-docstring">            LU_SPEC_2 string: second lexical unit specification</tt> </tt>
<a name="L395"></a><tt class="py-lineno">395</tt>  <tt class="py-line"><tt class="py-docstring">            SMOOTH bool: smooth counts by adding one to lexical units </tt> </tt>
<a name="L396"></a><tt class="py-lineno">396</tt>  <tt class="py-line"><tt class="py-docstring">                with a zero count</tt> </tt>
<a name="L397"></a><tt class="py-lineno">397</tt>  <tt class="py-line"><tt class="py-docstring">            CAT_TOTALS bool: use total count for category of lexical unit</tt> </tt>
<a name="L398"></a><tt class="py-lineno">398</tt>  <tt class="py-line"><tt class="py-docstring">                instead of overall total count</tt> </tt>
<a name="L399"></a><tt class="py-lineno">399</tt>  <tt class="py-line"><tt class="py-docstring">            FORMAT string: output format ("spec" or "xml")</tt> </tt>
<a name="L400"></a><tt class="py-lineno">400</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L401"></a><tt class="py-lineno">401</tt>  <tt class="py-line"><tt class="py-docstring">            SIM float or False: similarity between zero and one included,</tt> </tt>
<a name="L402"></a><tt class="py-lineno">402</tt>  <tt class="py-line"><tt class="py-docstring">                or False</tt> </tt>
<a name="L403"></a><tt class="py-lineno">403</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L404"></a><tt class="py-lineno">404</tt>  <tt class="py-line"><tt class="py-docstring">        Remarks:</tt> </tt>
<a name="L405"></a><tt class="py-lineno">405</tt>  <tt class="py-line"><tt class="py-docstring">        </tt> </tt>
<a name="L406"></a><tt class="py-lineno">406</tt>  <tt class="py-line"><tt class="py-docstring">            Lin's similarity is defined for a pair of concepts c1 and c2 as:</tt> </tt>
<a name="L407"></a><tt class="py-lineno">407</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L408"></a><tt class="py-lineno">408</tt>  <tt class="py-line"><tt class="py-docstring">                argmax [2 * IC(lcs) / (IC(c1) + IC(c2))] </tt> </tt>
<a name="L409"></a><tt class="py-lineno">409</tt>  <tt class="py-line"><tt class="py-docstring">                for all lcs in LCS(c1, c2)</tt> </tt>
<a name="L410"></a><tt class="py-lineno">410</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L411"></a><tt class="py-lineno">411</tt>  <tt class="py-line"><tt class="py-docstring">            This measure is extended to a _word_ distance measure by taking the</tt> </tt>
<a name="L412"></a><tt class="py-lineno">412</tt>  <tt class="py-line"><tt class="py-docstring">            maximum over the scores for all concepts (lexical units) that are</tt> </tt>
<a name="L413"></a><tt class="py-lineno">413</tt>  <tt class="py-line"><tt class="py-docstring">            senses of the word (cf. doc of resnik_sim).</tt> </tt>
<a name="L414"></a><tt class="py-lineno">414</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L415"></a><tt class="py-lineno">415</tt>  <tt class="py-line"><tt class="py-docstring">            If no LCS is found, this can mean two things:  </tt> </tt>
<a name="L416"></a><tt class="py-lineno">416</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L417"></a><tt class="py-lineno">417</tt>  <tt class="py-line"><tt class="py-docstring">                1. The two words have no LCS because they truely have nothing </tt> </tt>
<a name="L418"></a><tt class="py-lineno">418</tt>  <tt class="py-line"><tt class="py-docstring">                   in common. In this case we assume the IC of the LCS is zero and</tt> </tt>
<a name="L419"></a><tt class="py-lineno">419</tt>  <tt class="py-line"><tt class="py-docstring">                   we return zero.</tt> </tt>
<a name="L420"></a><tt class="py-lineno">420</tt>  <tt class="py-line"><tt class="py-docstring">                2. The two words should have something in common, but the correct </tt> </tt>
<a name="L421"></a><tt class="py-lineno">421</tt>  <tt class="py-line"><tt class="py-docstring">                   LCS is not present in the Cornetto database. However, since </tt> </tt>
<a name="L422"></a><tt class="py-lineno">422</tt>  <tt class="py-line"><tt class="py-docstring">                   there is no way to know this, we consider this the same as (1),</tt> </tt>
<a name="L423"></a><tt class="py-lineno">423</tt>  <tt class="py-line"><tt class="py-docstring">                   and we return zero.</tt> </tt>
<a name="L424"></a><tt class="py-lineno">424</tt>  <tt class="py-line"><tt class="py-docstring">                   </tt> </tt>
<a name="L425"></a><tt class="py-lineno">425</tt>  <tt class="py-line"><tt class="py-docstring">            There are three more marginal cases:</tt> </tt>
<a name="L426"></a><tt class="py-lineno">426</tt>  <tt class="py-line"><tt class="py-docstring">            </tt> </tt>
<a name="L427"></a><tt class="py-lineno">427</tt>  <tt class="py-line"><tt class="py-docstring">                1. No lexical units in the Cornetto database match the </tt> </tt>
<a name="L428"></a><tt class="py-lineno">428</tt>  <tt class="py-line"><tt class="py-docstring">                   specifications. </tt> </tt>
<a name="L429"></a><tt class="py-lineno">429</tt>  <tt class="py-line"><tt class="py-docstring">                2. All matching lexical units have a subcount of zero,</tt> </tt>
<a name="L430"></a><tt class="py-lineno">430</tt>  <tt class="py-line"><tt class="py-docstring">                   and no smoothing was applied, so their IC is undefined. </tt> </tt>
<a name="L431"></a><tt class="py-lineno">431</tt>  <tt class="py-line"><tt class="py-docstring">                3. All LCS have a subcount of zero, and no smoothing was applied,</tt> </tt>
<a name="L432"></a><tt class="py-lineno">432</tt>  <tt class="py-line"><tt class="py-docstring">                   so its IC is undefined. This implies that all subsumed</tt> </tt>
<a name="L433"></a><tt class="py-lineno">433</tt>  <tt class="py-line"><tt class="py-docstring">                   lexical units must have a subcount of zero, and therefore</tt> </tt>
<a name="L434"></a><tt class="py-lineno">434</tt>  <tt class="py-line"><tt class="py-docstring">                   (2) must be the case as well.  </tt> </tt>
<a name="L435"></a><tt class="py-lineno">435</tt>  <tt class="py-line"><tt class="py-docstring">                   </tt> </tt>
<a name="L436"></a><tt class="py-lineno">436</tt>  <tt class="py-line"><tt class="py-docstring">            In all of these three cases False is returned.</tt> </tt>
<a name="L437"></a><tt class="py-lineno">437</tt>  <tt class="py-line"><tt class="py-docstring">        """</tt> </tt>
<a name="L438"></a><tt class="py-lineno">438</tt>  <tt class="py-line">        <tt class="py-keyword">return</tt> <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-28" class="py-name"><a title="cornetto.server.CornetProxy._safe_return" class="py-name" href="#" onclick="return doclink('link-28', '_safe_return', 'link-9');">_safe_return</a></tt><tt class="py-op">(</tt> </tt>
<a name="L439"></a><tt class="py-lineno">439</tt>  <tt class="py-line">            <tt class="py-name">self</tt><tt class="py-op">.</tt><tt class="py-name">_cornet</tt><tt class="py-op">.</tt><tt id="link-29" class="py-name" targets="Method cornetto.simcornet.SimCornet.lin_sim()=cornetto.simcornet.SimCornet-class.html#lin_sim,Method cornetto.simserver.SimCornetProxy.lin_sim()=cornetto.simserver.SimCornetProxy-class.html#lin_sim"><a title="cornetto.simcornet.SimCornet.lin_sim
cornetto.simserver.SimCornetProxy.lin_sim" class="py-name" href="#" onclick="return doclink('link-29', 'lin_sim', 'link-29');">lin_sim</a></tt><tt class="py-op">(</tt><tt class="py-name">lu_spec1</tt><tt class="py-op">,</tt> <tt class="py-name">lu_spec2</tt><tt class="py-op">,</tt>   </tt>
<a name="L440"></a><tt class="py-lineno">440</tt>  <tt class="py-line">                                 <tt class="py-name">smooth</tt><tt class="py-op">,</tt> <tt class="py-name">cat_totals</tt><tt class="py-op">,</tt>  </tt>
<a name="L441"></a><tt class="py-lineno">441</tt>  <tt class="py-line">                                 <tt class="py-name">self</tt><tt class="py-op">.</tt><tt id="link-30" class="py-name"><a title="cornetto.server.CornetProxy._safe_format" class="py-name" href="#" onclick="return doclink('link-30', '_safe_format', 'link-11');">_safe_format</a></tt><tt class="py-op">(</tt><tt class="py-name">format</tt><tt class="py-op">)</tt><tt class="py-op">)</tt><tt class="py-op">)</tt> </tt>
</div></div><a name="L442"></a><tt class="py-lineno">442</tt>  <tt class="py-line"> </tt><script type="text/javascript">
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